嘉宾介绍
孙立君
麦吉尔大学土木工程系副教授、威廉·道森学者
Lijun Sun is an Associate Professor and William Dawson Scholar in the Department of Civil Engineering at McGill University, Montreal (QC), Canada. He received his PhD degree in Civil Engineering (Transportation) from the National University of Singapore in 2015, and earned his Bachelor degree in Civil Engineering from Tsinghua University (Beijing, China) in 2011. His research focuses on developing statistical and machine learning techniques, tools and applications to address the efficiency, resilience, uncertainty, and sustainability issues in urban transportation systems. He is now leading the smart transportation lab at McGill and the current research program of the lab centers on modeling spatiotemporal urban mobility and traffic data, stochastic modeling of human driving behavior, probabilistic time series forecasting, Bayesian statistics, and tensor analysis. He serves as Managing Editor for Artificial Intelligence for Transportation, and Associate Editors for Transportation Science and Transportation Research Part C–Emerging Technologies.
内容抢先读
This talk presents a stochastic modeling and simulation framework designed to enhance the accuracy and realism of car-following models. By integrating time-series techniques with traditional car-following models, the framework addresses key limitations of conventional approaches, which often overlook historical driving behavior and assume independent errors. Within this framework, three models are introduced, leveraging the Intelligent Driver Model (IDM) or deep neural networks to capture behavioral uncertainty, while Gaussian processes (GPs) or autoregressive (AR) processes model temporal correlations. By incorporating past driving actions, this approach enables more realistic and reliable simulations of human driving behavior. Experiments conducted on large-scale naturalistic driving datasets validate the framework’s effectiveness, demonstrating its ability to generate enhanced probabilistic predictions and more realistic traffic flow simulations, ultimately offering deeper insights into driving dynamics.c
讲座信息
时间：2025年6月20日（周五）16:00—17:00
地点：清华大学李兆基楼A119